Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 89 of 92, unchanged
1 category · Named, not rankedTeradata
8Judge labels
0First choices
8Negative labels
6 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Teradata was named 3 times in Warehouse & ETL, where Hightouch led with 40%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business96 of 99
0%1 label
under the label threshold
Mid-market83 of 83
0%3 labels
under the label threshold
Enterprise82 of 82
0%4 labels
under the label threshold
In warehouse & etl · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Teradata for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data warehouse and reverse ETL for marketing | GTM data and infrastructure | 0% | 83 of 83 | 100% | 3 | under 10 labels · led by Hightouch at 40% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Teradata held within the floor in its one category: no change cleared 11 points.
Best category · Warehouse & ETL · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 97 → 81 of 81
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 81 → 79 of 79
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Warehouse & ETL | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 97 → 83 of 83 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Teradata across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Teradata across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative8 labelsNone
First choiceAlternativeMentionNegative8 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
No positive label carried a quote.
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“older Oracle VMs, Teradata without cloud migration ... Marketing moves fast; this tech drags you down.” Qwen 3.7 Flash · Warehouse & ETL · negative prompt · hard negative
“Legacy On-Premises or Enterprise Systems (e.g., Teradata, Oracle, traditional SQL Server)” Gemini 3.5 Flash · Warehouse & ETL · negative prompt · hard negative
“On-premise solution that's outdated for modern marketing analytics” GLM 4.7 FlashX · Warehouse & ETL · negative prompt · soft negative
Named alongside
The products named in the same answers as Teradata, over the 8 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Teradata was named but was not.ShowHide
Named alongside
The products named in the same answers as Teradata, over the 8 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Teradata was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Teradata. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 8 of the 8 answers that named Teradata and are not a share of its labels.
Domains cited
cdp.com7
improvado.io7
integrate.io6
funnel.io5
guideflow.com5
supermetrics.com5
stacksync.com4
aboutmartech.com3
dinmo.com3
domo.com3
Forty-eight of the forty-eight domain citations in answers naming Teradata came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
teradata.com is not in Google's top ten for any of the category's searches. In the answers, Teradata takes 0% of first choices and Hightouch takes 40%.ShowHide
Search and answers
teradata.com is not in Google's top ten for any of the category's searches. In the answers, Teradata takes 0% of first choices and Hightouch takes 40%.
ShowHideIn search
Google, US estimatesPosition for “marketing data warehouse and reverse etl stack”
–
not in the top ten
Position for “best marketing data warehouse and reverse etl stack”
–
not in the top ten
- Organic visits to its site
- about 121,869 a month
- Searches its site ranks for
- 12,437 · 859 in the top three
- Sites linking to it
- 9,963
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
0%
rank 83 of 83 in Warehouse & ETL
Segment leader
40%
Hightouch
- First choices
- 0 across its categories
- Named in
- 8 answers
- Its own site cited
- in 8 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on teradata.com
5,650
subdomains included
Content
2,921
counted in the table below
Documentation
1,708
Product · Integration
166 · 106
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 1,327 | 0 | 2026-05-26 | ||
| Conference or event | 363 | 2 | 2026-08-10 | ||
| Report or ebook | 253 | 2 | 2026-08-19 | CDP | |
| Glossary or explainer | 253 | 5 | 2026-09-15 | Automation & iPaaS, CDP | |
| News or press | 214 | 8 | 2026-09-17 | ||
| Podcast or video | 184 | 1 | 2026-08-20 | ||
| Case study | 156 | 25 | 2026-09-09 | ||
| Webinar or virtual event | 142 | 1 | 2026-08-26 | ||
| Comparison | 27 | 2 | 2026-09-23 | ||
| Template or tool | 2 | 0 | 2025-05-21 |
Most recent
- 2026-09-23Context engineering vs prompt engineering comparison
- 2026-09-17Teradata Transforms Tera Into an Agentic Coworker | Teradata news or press
- 2026-09-16Context engineering vs prompt engineering comparison
- 2026-09-15What is a context engine glossary or explainer
- 2026-09-14What is conversational analytics glossary or explainer
- 2026-09-11What is ai governance glossary or explainer
How it is countedHide how it is counted
Every page teradata.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Follow Teradata
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Teradata.ShowHide
The company
Teradata.
ShowHideOn record
Wikidata- Website
- teradata.com
- Headquarters
- San Diego, United States
- Founded
- 1979
- Employees
- about 8,300
- Ownership
- Public, TDC on New York Stock Exchange
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase
In its own words
Stated by the vendor, not checked- Positioning
- Fixed + Flex Pricing provides customers with financial control in the agentic era.
- For
- customers
- Price stated
- Fixed + Flex Pricing teradata.com/pricing
- Free plan or trial
- Try for free teradata.com/platform
- Customers named
- The Very GroupThe Lottery CorporationSicrediBanco BradescoMitsui Sumitomo InsuranceRoman CobaIgnacio CharfoléSteve Pimblett
- Not stated on the pages read
- Starting price, integrations, certifications, hosting
What Teradata's own pages state, read October 5, 2026: teradata.com, teradata.com/pricing, trust.teradata.com, teradata.com/platform, teradata.com/customers. A claimed page can correct any of them.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Teradata's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Teradata, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Teradata by email, built from the raw record of the edition. It shows:
- where Teradata is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Teradata, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.